• 한국컴퓨터정보학회논문지
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• 제22권9호
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• pp.99-105
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• 2017

In this paper, we propose to design and implement the database management system for analyzing vehicle accidents through utilizing integration of the public big data. And the paper aims to provide valuable information for recognizing seriousness of the vehicle accidents and various circumstances at the accident time, and to utilize the produced information for the insurance company policies as well as government policies. For analysis of the vehicle accidents the system utilizes the integrated big data of National Indicator System, the Meteorological Office, National Statistical Office, Korea Insurance Development Institute, Road Traffic Authority, Ministry of Land, Infrastructure and Transport as well as the National Police Agency, which differentiates this system from the previous systems. The system consists of data at the accident time including weather conditions, vehicle models, age, sex, insurance amount etc., by which the database system users are able to obtain the integral information about vehicle accidents. The result shows that the vehicle accidents occur more frequently in the clear weather conditions, in the vehicle to vehicle conditions and in crosswalk & crossway. Also, it shows that the accidents in the cloudy weather leads more seriously to injury and death than in the clear weather. As well, the vehicle accident information produced by the system can be utilized to effectively prevent drivers from dangerous accidents.

• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2017년도 추계학술발표회
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• pp.218-218
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• 2017

• 한국가스학회지
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• 제22권3호
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• pp.53-64
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• 2018

천연가스는 폭발성 유체로 고압의 매설 배관 파손시 심각한 인적/물적 손해를 야기할 수 있으며, 최근에도 실제 매설 배관의 파손으로 상당한 인명피해가 발생한 사례가 보고되고 있다. 국내의 경우, 급속한 성장 및 보급에도 불구하고 천연가스 배관의 운영 길이와 운영기간이 짧아 가스배관의 사고원인 등에 대한 유효한 사고데이터의 확립이 부족한 실정이다. 국내에서 사고 사례에 대한 데이터베이스를 체계적으로 구축하기 위하여 국내보다 천연가스 배관의 운용 역사가 길고, 긴 배관망을 갖고 있는 해외 주요국에서 발생한 최근의 천연가스 배관관련 사고의 원인과 빈도를 분석하는 것이 필요하다. 따라서 본 연구에서는 해외 주요국에서 가스배관의 사고원인별 발생 빈도의 추이를 파악한 후 이를 비교 분석하여 국내 고압가스 운송 배관망의 안정성 확보의 토대를 구축하고자 하였다.

• Nuclear Engineering and Technology
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• 제45권7호
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• pp.871-894
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• 2013

KAERI (Korea Atomic Energy Research Institute) has been operating an integral effect test facility, the Advanced Thermal-Hydraulic Test Loop for Accident Simulation (ATLAS), for transient and accident simulations of advanced pressurized water reactors (PWRs). Using ATLAS, a high-quality integral effect test database has been established for major design basis accidents of the APR1400 plant. A Domestic Standard Problem (DSP) exercise using the ATLAS database was promoted to transfer the database to domestic nuclear industries and contribute to improving a safety analysis methodology for PWRs. This $2^{nd}$ ATLAS DSP (DSP-02) exercise aims at an effective utilization of an integral effect database obtained from ATLAS, the establishment of a cooperation framework among the domestic nuclear industry, a better understanding of the thermal hydraulic phenomena, and an investigation into the possible limitation of the existing best-estimate safety analysis codes. A small break loss of coolant accident with a 6-inch break at the cold leg was determined as a target scenario by considering its technical importance and by incorporating interests from participants. This DSP exercise was performed in an open calculation environment where the integral effect test data was open to participants prior to the code calculations. This paper includes major information of the DSP-02 exercise as well as comparison results between the calculations and the experimental data.

• 한국안전학회지
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• 제29권3호
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• pp.98-106
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• 2014

This study proposes severity analysis for pedestrian accidents by improving variables which were used for general severity analysis. The existing variables were collected based on the interviews with policeman or witnesses and evidence of accidents. Therefore, existing variables were subjective and had several measurement errors. In order to improve such problems, this study collected variables from vehicle recorder of taxi which recorded the moment of accidents. As a result, explanatory power of independent variables was enhanced and the complete objective variables could be collected. After collecting variables, ordered probit model was developed by utilizing vehicle recorder database. Fitness of ordered probit model was 0.23. Vehicle speed and pedestrian's eye direction variables were the most critical factors for severity of pedestrian accident. In addition, severity analysis for vulnerable pedestrian was carried out. As a result, it was revealed that vehicle speed, pedestrian's eye direction and safety zone variables affected the severity of pedestrian accidents most. Particularly, vehicle speed variable is the most important factor. Consequently, driver's defensive driving and compliance to the regulations are the priority to reduce severity of pedestrian accidents and prevent pedestrian accident.

• 한국화재소방학회:학술대회논문집
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• 한국화재소방학회 2004년도 추계학술논문발표회 논문집
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• pp.3-9
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• 2004

• 자동차안전학회지
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• 제15권4호
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• pp.39-47
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• 2023

Research on the safety of autonomous vehicle is being conducted in various countries, including the European Union, and computer simulation techniques so called 'Virtual Tool Chain' are mainly used. As part of the crash safety study of autonomous vehicle, 25 car to car collision scenarios were provided as a result of a real accident-based accident reproduction analysis study conducted by a domestic research institution, and a vehicle crash analysis was performed using the FE car to car model of the Honda Accord. In order to analyze the results of the car to car simulation and to construct a database, major crash parameters were selected as impact speed, angle, location, and overlap, and a method of defining them in an indexed form was presented. In order to compare the crash severity of each scenario, a value obtained by integrating the resultant acceleration measured by the ACU of the vehicle was applied. The equivalent collision test mode was derived by comparing the crash severity of the regulation test mode, 30 deg rigid barrier mode, in the same way.

• 한국화재소방학회논문지
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• 제26권4호
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• pp.31-41
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• 2012

본 연구에서는 1995년부터 2008년까지 14년간 국내에서 발생한 5.100건의 가스사고사례를 수집하여 Database를 구축하였으며, 이를 근거로 세부형태 및 원인별로 분석하였다. Poisson 분석법을 적용하여 전체 도시가스사고를 분석한 결과, 향후 5년 동안 "취급부주의-폭발-배관"의 항목의 사고발생확률이 가장 높았으며, "연결이완부식-누출-배관"의 경우는 가장 작은 발생 확률을 나타내었다. 또한 LPG 기화기 관련 사고만을 분석한 결과는 "LPG-기화기-화재"가 가장 높은 사고발생확률을 나타냈으며, "LPG-기화기-제품결함"이 가장 낮은 사고발생확률인 것으로 분석되었다. 아울러 Jet fire를 수반하는 외국의 LPG 사고를 비교 분석한 결과 국내의 경우와 마찬가지로 설비적 결함인 액유출장치 및 열교환기의 결함이 Jet fire를 일으키는 주요 원인으로 분석되었지만 향후 5년간 사고발생횟수는 "LPG-설비적결함-Jet fire" 항목이 가장 많았고, "LPG-설비적결함-Vapor Cloud" 항목은 가장 사고발생확률이 높은 것으로 분석되었다. 향후 가스 사고 발생 예측프로그램에 Poisson 분포 이론을 접목함으로서 일관성 있는 기준제시 및 현장에서 실제적으로 사용할 수 있는 도구로 사용되길 기대한다.

• 대한안전경영과학회지
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• 제12권1호
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• pp.35-42
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• 2010

Due to the industrialization and urbanization, the transport of hazardous materials increases, which rises possibilities in occurring prospective accidents in terms of hazardous material transport as well. This study applied the model developed from the previous research to analyze the scale of damage areas from the accidents related to hazardous material accidents, as well as suggested a method to measure automatically the scale of accident including casualties and environmental damage based on the guideline which suggests the quantities of hazardous materials exposed from an accident and was defined in the study of standardization for hazardous material classification. A buffering analysis technique of Geographic Information System (GIS) was applied for that. To apply the model which evaluates the scale of population and exposure to environment on each link, rail network, zones, rail accident data, rail freight trips, and locations of rivers etc were complied as a database for GIS analysis. In conclusion, a method to measure damage areas by the types of hazardous materials was introduced using a Clip and a Special Join technique for overlay analysis.

• 한국항해항만학회지
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• 제35권9호
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• pp.735-740
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• 2011

It is necessary to develop the one stop system in order to protect our marine environment rapidly from oil spill accident. The purpose of this study is to develop real time database for oil spill prediction modeling and implement real time prediction modelling with ESI and server-client GIS based user interface. The existing oil spill prediction model cannot provide one stop information system for public and government who should protect sea from oil spill accident. The development of multi user based information system permits integrated handling of real time meteorological data from external ftp. A server-client GIS based model is integrated on the basis of real time database and ESI map to provide the result of the oil spill prediction model. End users can access through the client interface and request analysis such as oil spill prediction and GIS functions on the network as their own purpose.